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» Information Modeling in the Time of the Revolution
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NIPS
2004
15 years 8 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
CORR
2012
Springer
292views Education» more  CORR 2012»
14 years 2 months ago
Optimal Threshold Control by the Robots of Web Search Engines with Obsolescence of Documents
A typical web search engine consists of three principal parts: crawling engine, indexing engine, and searching engine. The present work aims to optimize the performance of the cra...
Konstantin Avrachenkov, Alexander N. Dudin, Valent...
DATE
2009
IEEE
120views Hardware» more  DATE 2009»
16 years 1 months ago
Overcoming limitations of the SystemC data introspection
—Today verification, testing and debugging of SystemC models can be applied at an early stage in the design process. To support these techniques gaining required information of ...
Christian Genz, Rolf Drechsler
CIKM
2006
Springer
15 years 10 months ago
Continuous keyword search on multiple text streams
In this paper we address the issue of continuous keyword queries on multiple textual streams. This line of work represents a significant departure from previous keyword search mod...
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos...
CIKM
2005
Springer
15 years 8 months ago
DIST: a distributed spatio-temporal index structure for sensor networks
We consider the general problem of tracking moving objects in sensor networks. The specific application we consider is that of tracking a chemical plume moving over a large infra...
Anand Meka, Ambuj K. Singh